Thomas Richardson

Affiliations:
  • University of Washington, Statistics Department, WA, USA
  • Carnegie Mellon University, Department of Philosophy, Pittsburgh, USA


According to our database1, Thomas Richardson authored at least 54 papers between 1995 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Improved prediction of future user activity in online A/B testing.
CoRR, 2024

A Nonparametric Bayes Approach to Online Activity Prediction.
CoRR, 2024

Assumptions and Bounds in the Instrumental Variable Model.
CoRR, 2024

2022
The m-connecting imset and factorization for ADMG models.
CoRR, 2022

A Bayesian Model for Online Activity Sample Sizes.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Multivariate Counterfactual Systems and Causal Graphical Models.
Proceedings of the Probabilistic and Causal Inference: The Works of Judea Pearl, 2022

An Interventionist Approach to Mediation Analysis.
Proceedings of the Probabilistic and Causal Inference: The Works of Judea Pearl, 2022

2021
Chernoff-Type Concentration of Empirical Probabilities in Relative Entropy.
IEEE Trans. Inf. Theory, 2021

Multiple Randomization Designs.
CoRR, 2021

Bayesian Sample Size Prediction for Online Activity.
CoRR, 2021

2019
A Potential Outcomes Calculus for Identifying Conditional Path-Specific Effects.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Acyclic Linear SEMs Obey the Nested Markov Property.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

2015
A Finite Population Likelihood Ratio Test of the Sharp Null Hypothesis for Compliers.
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

2014
Variations on undirected graphical models and their relationships.
Kybernetika, 2014

2013
Large Scale Distributed Acoustic Modeling With Back-Off ℕ-Grams.
IEEE Trans. Speech Audio Process., 2013

A Polynomial-Time Algorithm for Deciding Markov Equivalence of Directed Cyclic Graphical Models
CoRR, 2013

Sparse Nested Markov models with Log-linear Parameters.
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

2012
Using the structure of d-connecting paths as a qualitative measure of the strength of dependence
CoRR, 2012

Proceedings of the Twenty-Second Conference on Uncertainty in Artificial Intelligence (2006)
CoRR, 2012

Nested Markov Properties for Acyclic Directed Mixed Graphs.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Distributed acoustic modeling with back-off n-grams.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
Learning high-dimensional DAGs with latent and selection variables
CoRR, 2011

An Efficient Algorithm for Computing Interventional Distributions in Latent Variable Causal Models.
Proceedings of the UAI 2011, 2011

Learning high-dimensional DAGs with latent and selection variables (Abstract).
Proceedings of the UAI 2011, 2011

2010
Rescuing Loading Induced Bone Formation at Senescence.
PLoS Comput. Biol., 2010

Maximum likelihood fitting of acyclic directed mixed graphs to binary data.
Proceedings of the UAI 2010, 2010

2009
Computing Maximum Likelihood Estimates in Recursive Linear Models with Correlated Errors.
J. Mach. Learn. Res., 2009

A factorization criterion for acyclic directed mixed graphs.
Proceedings of the UAI 2009, 2009

Testing Edges by Truncations.
Proceedings of the IJCAI 2009, 2009

2008
Graphical Methods for Efficient Likelihood Inference in Gaussian Covariance Models.
J. Mach. Learn. Res., 2008

2005
Towards Characterizing Markov Equivalence Classes for Directed Acyclic Graphs with Latent Variables.
Proceedings of the UAI '05, 2005

2004
Iterative Conditional Fitting for Gaussian Ancestral Graph Models.
Proceedings of the UAI '04, 2004

2003
A New Algorithm for Maximum Likelihood Estimation in Gaussian Graphical Models for Marginal Independence.
Proceedings of the UAI '03, 2003

Using the structure of d-connecting paths as a qualitative measure of the strength of dependence.
Proceedings of the UAI '03, 2003

Continuation based control of aircraft dynamics.
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

2002
Markov Equivalence Classes for Maximal Ancestral Graphs.
Proceedings of the UAI '02, 2002

Structurally discriminative graphical models for automatic speech recognition - results from the 2001 Johns Hopkins Summer Workshop.
Proceedings of the IEEE International Conference on Acoustics, 2002

Evaluation of Sequential Importance Sampling for blind deconvolution via a simulation study.
Proceedings of the 11th European Signal Processing Conference, 2002

2001
Cross-covariance modelling via DAGs with hidden variables.
Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001

2000
Guest editorial.
Stat. Comput., 2000

1999
Discussion on the paper by Friedman and Fisher.
Stat. Comput., 1999

Boosting methodology for regression problems.
Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, 1999

Tractable structure search in the presence of latent variables.
Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, 1999

1998
Interpretable Boosted Naïve Bayes Classification.
Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998

Chain Graphs and Symmetric Associations.
Proceedings of the Learning in Graphical Models, 1998

1997
A characterization of Markov equivalence for directed cyclic graphs.
Int. J. Approx. Reason., 1997

An evaluation of machine-learning methods for predicting pneumonia mortality.
Artif. Intell. Medicine, 1997

Heuristic Greedy Search Algorithms for Latent Variable Models.
Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, 1997

A Polynomial Time Algorithm for Determining DAG Equivalence in the Presence of Latent Variables and Selection Bias.
Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, 1997

A Note on Cyclic Graphs and Dynamical Feedback Systems.
Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, 1997

Extensions of Undirected and Acyclic, Directed Graphical Models.
Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, 1997

1996
A Polynomial-Time Algorithm for Deciding Equivalence of Directed Cyclic Graphical Models.
Proceedings of the UAI '96: Proceedings of the Twelfth Annual Conference on Uncertainty in Artificial Intelligence, 1996

A Discovery Algorithm for Directed Cyclic Graphs.
Proceedings of the UAI '96: Proceedings of the Twelfth Annual Conference on Uncertainty in Artificial Intelligence, 1996

1995
Causal Inference in the Presence of Latent Variables and Selection Bias.
Proceedings of the UAI '95: Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence, 1995


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